code: def testPickle_old(self):
      import pickle
  
      out1 = pickle.dumps(self.mModel)
      lModel2 = pickle.loads(out1)
      out2 = pickle.dumps(lModel2)
      print(sorted(self.mModel.__dict__))
      print(sorted(lModel2.__dict__))
      for k, v in self.mModel.__dict__.items():
          print(k, self.mModel.__dict__[k])
          print(k, lModel2.__dict__[k])
      assert out1 == out2
      print("TEST_PICKLE_OLD_OK")
  
imports: import numpy
  import pandas
  from .None import SignalDecomposition_AR
  import sys
label_desc: Use image node_id 4 for calling the cLSTM_Model obj's underlying member method code with example usage: obj.testPickle_old() without return types